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Barrier Coverage in Camera Sensor Networks in the Presence of Occluding Objects

Kumar, A and Ghose, D (2023) Barrier Coverage in Camera Sensor Networks in the Presence of Occluding Objects. In: UNSPECIFIED.

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Official URL: https://doi.org/10.1109/ROBIO58561.2023.10354909


This paper studies the problem of determining barrier coverage in camera sensor networks in the presence of occluding objects in the environment. A coverage model is proposed that introduces a novel sector division approach, which utilizes the intersection between occluders and sensor regions. Further, the existing graph-based method is modified to determine the barrier coverage of a sensor network in the presence of occluders. The link between the barrier coverage solution and the graph's connectivity is established, and the effectiveness of the approach is verified through simulations. © 2023 IEEE.

Item Type: Conference Paper
Publication: 2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Author
Department/Centre: Others
Date Deposited: 01 Mar 2024 10:31
Last Modified: 01 Mar 2024 10:31
URI: https://eprints.iisc.ac.in/id/eprint/84054

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